Research covers a variety of conceptual and algorithmic aspects related to modeling of and controller design for dynamical systems. Addressed are first-principal modeling as well as deterministic and statistical data-based system identification, including a description of the potential plant-model mismatch. Techniques for analyzing and designing controllers include the application of physical principles, semi-definite programming and nonlinear optimization, both for off-line and on-line implementation. Particular emphasis is laid on an understanding of how to synthesize structured, robust and fault-tolerant controllers for possibly large scale-systems, and on developing the related computationally efficient algorithms.
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